accidental-data-loss-prevention
Skill240 starsChanged 5 months agoApache-2.0View on GitHub
**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for: - SQL: DROP TABLE/VIEW/SCHEMA/DATABASE, TRUNCATE, or broad DELETE (missing WHERE or using 1=1). - Cloud Storage: gsutil rm or gcloud storage rm targeting production data or critical buckets. - Infrastructure: gcloud projects delete, deleting Spanner/BigQuery/Dataproc resources, deleting secrets, or KMS key destruction.
- Deletes or force-pushes
3 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- sid-lakhani/agents-configword for word, first seen Oct 20, 2026
- MortuisVMain/ai-agent-superpowersedited, first seen Sep 15, 2026
- matt-rabah/sf-ragword for word, first seen Jun 28, 2026
Other versions3 projects use a version of this.
Word for word · 2
- sid-lakhani/agents-config★ 2100% same
- matt-rabah/sf-rag★ 0100% same
Edited · 1
- MortuisVMain/ai-agent-superpowers★ 082% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- bigquery-ai-mlSkill
- bigquery-bigframesSkill
- bigquery-data-transfer-serviceSkill
- bigquery-graph-authorSkill
- bigquery-graph-querySkill
- bigquery-observabilitySkill
- bigquery-optimizationSkill
- bigquery-troubleshootingSkill
- bigtable-basicsSkill
- building-data-appsSkill
- cloud-databases-onboardingSkill
- dak-setupSkill
- data-autocleaningSkill
- dataform-bigquerySkill
- dbt-bigquerySkill
- discovering-gcp-data-assetsSkill
- enforcing-resource-attributionSkill
- federate-lakehouse-catalogSkill
- gcp-composer-troubleshootingSkill
- gcp-dataflowSkill
- gcp-data-pipelinesSkill
- gcp-managed-airflow-dag-authoringSkill
- gcp-managed-airflow-migrationsSkill
- gcp-managed-airflow-recommendationsSkill
- gcp-managed-spark-upgradesSkill
- gcp-pipeline-orchestrationSkill
- gcp-pipeline-resource-provisioningSkill
- gcp-spark-observabilitySkill
- gcp-sparkSkill
- gcp-spark-troubleshootingSkill
- gcs-security-assessmentSkill
- google-cloud-storage-basicsSkill
- google-cloud-storage-bucket-architectSkill
- google-cloud-storage-fuseSkill
- managing-python-dependenciesSkill
- ml-best-practicesSkill
- notebook-guidanceSkill
- resolving-mcp-region-configsSkill
- schema-mappingSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Halt Execution: Do not execute the command.
- Distinctive: line 30
Wait: Only proceed if the user provides clear, affirmative consent in the conversation.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Accidental Data Loss Prevention
[!CAUTION]
STOP AND VERIFY: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent.
Mandatory Procedure
- Halt Execution: Do not execute the command.
- Request Consent: Explain clearly to the user:
- The impact of this deletion.
- Why you believe this is necessary.
- A request for their explicit approval to proceed.
- Wait: Only proceed if the user provides clear, affirmative consent in the conversation.
Does it work?
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No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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